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Selected publications

    2014 2013
    • Grytskyy, D, Tetzlaff, T, Diesmann, M, Helias, M (2013) A unified view on weakly correlated recurrent networks. Front Comp Neurosi doi:10.3389/fncom.2013.00131
    • Abeles, M, Diesmann, M, Flash, T, Geisel, T, Hermann, M, Teicher, M (2013) Compositionality in Neural Control: An Interdisciplinary Study of Scribbling Movements in Primates. Front Comp Neurosi (Epub ahead of print) doi:10.3389/fncom.2013.00103
    • Vlachos, A, Helias, M, Becker, D, Diesmann, M, Deller, T (2013) NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitro. Neurobiol. Disease 59: 267–276 doi:10.1016/j.nbd.2013.07.018
    • Helias M, Tetzlaff T, Diesmann M (2013) Echoes in correlated neural systems. New J. Phys. 15 023002 doi:10.1088/1367-2630/15/2/023002
    • Schultze-Kraft M, Diesmann M, Grün S, Helias M (2013) Noise Suppression and Surplus Synchrony by Coincidence Detection. PLoS Comput Biol. 9(4): e1002904 doi:10.1371/journal.pcbi.1002904
    • Gerstein, GL, Williams, ER, Diesmann, M, Grün, S, Trengove, C (2012) Detecting synfire chains in parallel spike data. Front Comp Neurosi 206(1) 54-64 doi:10.1016/j.jneumeth.2012.02.003
    • Bakker R, Wachtler T and Diesmann M (2012) CoCoMac 2.0 and the future of tract-tracing databases. Front. Neuroinform. 6: 30 doi: 10.3389/fninf.2012.00030
    • Sharon M. Crook, James A. Bednar, Sandra Berger, Robert Cannon, Andrew P. Davison, Mikael Djurfeldt, Jochen Eppler, Birgit Kriener, Steve Furber, Bruce Graham, Hans E. Plesser, Lars Schwabe, Leslie Smith, Volker Steuber, Sacha van Albada (2012). Creating, documenting and sharing network models. Computation in Neural Systems Vol. 23, No. 4, Pages 131-149 DOI: 10.3109/0954898X.2012.722743
    • Pfeil T, Potjans TC, Schrader S, Potjans W, Schemmel J, Diesmann M, Meier K (2012) Is a 4-bit synaptic weight resolution enough? – constraints on enabling spike-timing dependent plasticity in neuromorphic hardware. Frontiers in Neuromorphic Engineering 6:90 doi:10.3389/fnins.2012.00090
    • Potjans TC and Diesmann M (2012) The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model. Cerebral Cortex doi:10.1093/cercor/bhs358
    • Helias M, Kunkel S, Masumoto G, Igarashi J, Eppler JM, Ishii S, Fukai T, Morrison A and Diesmann M (2012) Supercomputers ready for use as discovery machines for neuroscience. Front. Neuroinform. 6:26 doi: 10.3389/fninf.2012.00026
    • Deger M, Helias M, Rotter S, Diesmann M (2012) Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex. PLoS Comput Biol. 8(9): e1002689. doi:10.1371/journal.pcbi.1002689
    • Lansner A, Diesmann M (2012) Virtues, pitfalls, and methodology of neuronal network modeling and simulations on supercomputers. in Nicolas Le Novére Computational Systems Biology, Chapt. 10 Springer ISBN 978-94-007-3857-7
    • Trengove C, van Leeuwen C, Diesmann M (2012) High-capacity embedding of synfire chains in a cortical network model. J Comput Neurosci 34(2): 185-209 doi:10.1007/s10827-012-0413-9
    • Tetzlaff T, Helias M, Einevoll GT, Diesmann M (2012) Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Comput Biol 8(8): e1002596. doi:10.1371/journal.pcbi.1002596 preprint with high-quality figures
    • Kunkel S, Potjans TC, Eppler JM, Plesser HE, Morrison A and Diesmann M (2012) Meeting the memory challenges of brain-scale network simulation. Front. Neuroinform. 5:35. doi: 10.3389/fninf.2011.00035
    • Kunkel S, Helias M, Potjans TC, Eppler JM, Plesser HE, Diesmann M and Morrison A (2012) Memory Consumption of Neuronal Network Simulators at the Brain Scale NIC Symposium 2012, Editors: Klaus Binder, Gernot Münster, Manfred Kremer. Proceedings, Forschungszentrum Jülich NIC Series Vol. 45, page 81 ISBN 978-3-89336-758-0
    2011 2010 2009 2008
    • Grün S, Abeles M, and Diesmann M. (2008) Impact of higher-order correlations on coincidence distributions of massively parallel data. Lecture Notes in Computer Science, 'Dynamic Brain - from Neural Spikes to Behaviors' , vol 5286, 96-114 DOI:10.1007/978-3-540-88853-6 preprint
    • Helias M, Rotter S, Gewaltig M-O, Diesmann M (2008) Structural plasticity controlled by calcium based correlation detection Front Comput Neurosci 2, 7. doi:10.3389/neuro.10.007.2008
    • Schrader S, Grün S, Diesmann M, Gerstein G (2008) Detecting synfire chain activity using massively parallel spike train recording J Neurophysiol100: 2165-2176
    • Pazienti A, Maldonado P, Diesmann M, Grün S (2008) The effectiveness of systematic spike dithering depends on the precision of cortical synchronization. Brain Research, 1225: 39-46
    • Morrison A, Diesmann M, Gerstner W (2008) Phenomenological Models of Synaptic Plasticity based on Spike-Timing Biological Cybernetics 98(6): 459-478
    • Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A, Diesmann M (2008) Dependence of neuronal correlations on filter characteristics and marginal spike-train statistics Neural Computation, 20: 2133-2184among top downloads from NECO
    • Kriener B, Tetzlaff T, Aertsen A, Diesmann M, Rotter S (2008) Correlations and population dynamics in cortical networks Neural Computation, 20: 2185-2226
    • Goedeke S, Diesmann M (2008) The mechanism of synchronization in feed-forward neuronal networksNew Journal of Physics 10:015007
    • Morrison A, Aertsen A, Diesmann M (2007) Spike-time dependent plasticity in balanced recurrent networks Neural Computation 19: 1437 1467 in 2008 among top downloads from NECO
    • Morrison A, Straube S, Plesser H E, Diesmann M (2007) Exact subthreshold integration with continuous spike times in discrete time neural network simulations Neural Computation 19: 47-79
    • Pazienti A, Diesmann M, and Grün S. (2007) Bounds of the ability to destroy precise coincidences by spike dithering. Lecture Notes in Computer Science 4729, pp. 428 437.
    • Plesser H E, Eppler J M, Morrison A, Diesmann M, Gewaltig M-O (2007) Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers Euro-Par 2007, Proceedings of the 13th International Euro-Par Conference, LCNS vol. 4641 p. 672-681. Springer
    • Brette R et al. incl. MD Simulation of networks of spiking neurons: A review of tools and strategies (2007) Journal of Computational Neuroscience 23(3): 349-398
    • Gewaltig M-O, Diesmann M (2007) NESTScholarpedia2(4):1430
    • Backofen R et al. incl. MD A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative (2006) PIK - Praxis der Informationsverarbeitung 29:81--87
    • Guerrero-Rivera R, Morrison A, Diesmann M, Pearce, T C (2006) Programmable Logic Construction Kits for Hyper Real-time Neuronal Modeling Neural Computation 18:2651--2679
    • Morrison A, Mehring C, Geisel T, Aertsen A, Diesmann M (2005) Advancing the boundaries of high connectivity network simulation with distributed computing Neural Computation 17(8):1776--1801
    • Tetzlaff T, Morrison A, Geisel, T, and Diesmann M (2004) Consequences of Realistic Network Size on the Stability of Embedded Synfire Chains Neurocomputing 58--60:117--121
    • Denker M, Timme M, Diesmann M, Wolf F, and Geisel T (2004) Breaking synchrony by heterogeneity in complex networks Phys Rev Lett 92(7):074103.
    • Grün S, Riehle A, and Diesmann M (2003) Effect of cross-trial non-stationarity on joint-spike events Biological Cybernetics 88(5):335--351
    • Grün S, Riehle A, Aertsen A, and Diesmann M (2003) Temporal Scales of Cortical Interactions Nova Acta Leopoldina 332:189--206
    • Pipa G, Diesmann M, and Grün S (2003) Significance of Joint-Spike Events Based on Trial-Shuffling by Efficient Combinatorial Methods Complexity 8(4):79--86
    • Mehring C, Hehl U, Kubo M, Diesmann M, and Aertsen A (2003) Activity Dynamics and Propagation of Synchronous Spiking in Locally Connected Random Networks Biological Cybernetics 88(5):395--408
    • Tetzlaff T, Buschermoehle M, Geisel T, and Diesmann M (2003) The spread of rate and correlation in stationary cortical networks Neurocomputing 52--54:949--954
    • Tetzlaff T, Geisel T, and Diesmann M (2002) The Ground State of Cortical Feed-Forward Networks Neurocomputing 44--46:673--678
    • Egert U, Knott Th, Schwarz C, Nawrot M, Brandt A, Rotter S, and Diesmann M (2002) MEA-Tools: an open source toolbox for the analysis of multi-electrode data with MATLAB Journal of Neuroscience Methods 117:33--42
    • Grün S, Diesmann M, and Aertsen A (2002) `Unitary Events' in Multiple Single Neuron Spiking Activity. II. Non-Stationary Data Neural Computation 14(1):81--119
    • Grün S, Diesmann M, and Aertsen A (2002) Unitary Events' in Multiple Single Neuron Spiking Activity. I. Detection and Significance Neural Computation 14(1):43--80
    • Gewaltig M-O, Diesmann M, and Aertsen A (2001) Propagation of cortical synfire activity: survival probability in single trials and stability in the mean Neural Networks 14:657--673
    • Gewaltig M-O, Diesmann M, and Aertsen A (2001) Cortical Synfire-Activity: Configuration Space and Survival Probability Neurocomputing 38--40:621--626
    • Diesmann M, Gewaltig M-O, Rotter S, and Aertsen A (2001) State Space Analysis of Synchronous Spiking in Cortical Neural Networks Neurocomputing 38--40:565--571
    • Riehle A, Grammont F, Diesmann M, and Grün S (2000) Dynamical Changes and Temporal Precision of Synchronized Spiking Activity in Monkey Motor Cortex During Movement Preparation Journal of Physiology (Paris) 94:569--582
    • Rotter, S and Diesmann M (1999) Exact Digital Simulation of Time-Invariant Linear Systems with Applications to Neuronal Modeling Biological Cybernetics 81:381-402
    • Grün S, Diesmann M, Grammont F, Riehle A, and Aertsen A Detecting unitary events without discretization of time (1999) Journal of Neuroscience Methods 94:67--79
    • Diesmann M, Gewaltig M-O, and Aertsen A (1999) Conditions for Stable Propagation of Synchronous Spiking in Cortical Neural Networks Nature 402:529--533
    • Riehle A, Grün S, Diesmann M, Aertsen A (1997) Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function Science 278:1950--1953
    • Aertsen A, Diesmann M, and Gewaltig M-O (1996) Propagation of synchronous spiking activity in feedforward neural networks Journal of Physiology (Paris) 90:243--247


  • Gewaltig M-O, Diesmann M, Morrison A, Plesser H E The Computer Science of Neural Systems Simulation Springer, Lecture notes in computer science (in preparation)